This example and accompanying tutorial show users how to deploy an Apache Kafka® event streaming application using ksqlDB and Kafka Streams for stream processing. All the components in the Confluent Platform have security enabled end-to-end. Run the example with the tutorial.

Table of Contents

• Overview
• Documentation

The use case is a Kafka event streaming application for real-time edits to real Wikipedia pages. Wikimedia's EventStreams publishes a continuous stream of real-time edits happening to real wiki pages. Using Kafka Connect, a Kafka source connector kafka-connect-sse streams raw messages for the server sent events (SSE), and a custom Kafka Connect transform kafka-connect-json-schema transforms these messages and then the messages are written to a Kafka cluster. This example uses ksqlDB and a Kafka Streams application for data processing. Then a Kafka sink connector kafka-connect-elasticsearch streams the data out of Kafka and is materialized into Elasticsearch for analysis by Kibana. All data is using Confluent Schema Registry and Avro. Confluent Control Center is managing and monitoring the deployment.

You can find the documentation for running this example and its accompanying tutorial at https://docs.confluent.io/platform/current/tutorials/cp-demo/docs/index.html.

For additional examples that showcase streaming applications within an event streaming platform, please refer to the examples GitHub repository.